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Louisdlms/a2c-PandaReachJointsDense-v3
a2c-PandaReachJointsDense-v3 is a reinforcement learning model from Louisdlms. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3. The card lists the license as mit.
This repository contains a Stable Baselines3 implementation of the Advantage Actor-Critic (A2C) algorithm trained on the PandaReachJointsDense-v3 environment from panda-gym. The model was trained for 500,000 timesteps…
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From the Hugging Face model README
This repository contains a Stable Baselines3 implementation of the Advantage Actor-Critic (A2C) algorithm trained on the PandaReachJointsDense-v3 environment from panda-gym. The model was trained for 500,000 timesteps to learn how to reach points in 3D space by controlling the robot's articulations.
<video controls src="https://huggingface.co/Louisdlms/a2c-PandaReachJointsDense-v3/resolve/main/videos/panda_reach_result.mp4"></video>
Direct link: https://huggingface.co/Louisdlms/a2c-PandaReachJointsDense-v3/resolve/main/videos/panda_reach_result.mp4